Johns Hopkins Hospital took a self-service analytics and LEAN approach to improve patient placement turnaround time by reducing bed down time. Identify how analytics played a key role in process improvement support to maximize your organization’s resources. Get new ideas to:

Leverage BI tools for data discovery

Use data to innovatively solve the problem

Use data visualization to tell a story and get buy-in

Close the gap between perception and reality through self-service analytics.

There is more than enough data in our healthcare system, but it can be challenging to link this data to improving patient outcomes and system performance. Harness tools, such as machine learning and predictive analytics, to transform the way you use data and analytics.
Get new ideas to:

Machine learning is making significant inroads in healthcare, with common predictive models highlighting patients most at risk, improving clinical decision support at the point of care, automating routine clinical tasks, and improving population health management. Gain valuable insight to benefit your organization. Take away a blueprint for implementation by hearing:

Data preparation and management is crucial in delivering accurate analytics. Discover unexpected insights in your databases to identify problem areas and opportunities for improvement. Get new ideas to:

Develop a process to ensure data quality

Extract new and important variables

Identify outliers and anomalies

Change the way you process data to drive success in an increasingly data-driven world.

The Ontario Ministry of Health and Long Term Care has been striving to augment their analytical capacity by developing data science capabilities. Learn about the MOHLTC’s journey to develop a data science program in order to help your organization utilize these exciting and promising techniques. Learning objectives will include:

Analyze lessons learned from establishing a data science capability within the ministry

Long Term Care Data Tools to Enhance Care Delivery and Strategize Improvement Planning

Tommy Wong

Director, Data and Analytics,Ontario Long Term Care Association

To promote the culture of data use, it is important to understand and continuously monitor and compare key data metrics in the sector. However, as more health care data are being generated and reported, utilizing data is becoming more time consuming and difficult. To help long-term care homes members in enhancing care delivery and accessing information, OLTCA is leading two data projects: Clinical Support Tools and Business Intelligence (BI) Tools. In this session, participants will see examples of these tools and explore ideas on:

The Toronto Central LHIN uses socio-demographic and health utilization data to engage providers in collaborative discussions on challenges in the healthcare system. Develop an approach to align data and strategy to ensure providers are meeting patient needs. Get insights to:

Director, Analytics and Business Intelligence Analytics and Informatics,Cancer Care Ontario

The CCO Enterprise Team provides advanced analytics, business intelligence, information design, and information asset management services across the organization.
Hear from CCO’s experiences to drive the success of your analytics programs. Get new ideas to:

Gain insights from your industry peers and benchmark your organization against others in this interactive session. Delegates will be divided into informal discussion groups based on their areas of interest.

Big Data has the potential to be a large part of your organization’s decision-making process. Leverage data to make decisions that will transform your organization’s efficiencies and care delivery. Create a plan to:

Develop strategic objective for your organization

Specify the information you need from your data

Identify the data you have and data you need

Develop a strategy to position yourself as a data-driven organization.

Connect with conference speakers and fellow attendees. Secure important new contacts and talk about crucial developments in your field.

2:45 PM

Case Study: Data 3.0

Approach Data as a Valued Asset to Gain Insights and Take Action

Mary Lou Ackerman

Vice President, Innovation,Saint Elizabeth Healthcare

Data has been typically perceived as a by-product of business activity, but we need to shift away from this mindset to better prepare for the future. Transform the way you use data to support next-generation technology. Get new ideas to:

Create a foundation for artificial intelligence and machine learning

Build the basics for predictive analytics

Translate Big Data into actionable information

Saint Elizabeth Health Care is creating a future where Canadians age with agency, vitality, and dignity.

St Joseph’s Healthcare had implemented Dovetale as part of their Enterprise Data Strategy and moved from full paper based environment to a digital environment. Develop a data strategy that will increase your organizational business intelligence maturity. Takeaway strategies to:

Connect with organizational leaders and stakeholders to create a vision for enterprise data

Design a program to meet the needs of corporate reporting, quality and research in an academic hospital

Set realistic and achievable next steps

Realize the power of enterprise data strategy to effectively manage your limited data in a centralized manner.

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